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A simple way to evaluate self-designed probes for tumor specific Multiplex Ligation-dependent Probe Amplification (MLPA)

机译:一种简单的方法来评估针对肿瘤特异性多重连接依赖性探针扩增(MLPA)的自行设计探针

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摘要

BACKGROUND: The Multiplex Ligation-dependent Probe Amplification (MLPA) is widely used for analysis of copy number variations (CNVs) in single or multiple loci. MLPA is a versatile methodology and important tool in cancer research; it provides precise information on increased or decreased copy number at specific loci as opposed to loss of heterozygosity (LOH) studies based upon microsatellite analysis. Pre-designed MLPA kits and software are commercially available to analyze multiple exons, genes, and genomic regions. However, an increasing demand for new gene specific assays makes it necessary to self-design new MLPA probes for which the available software may not be applicable. During evaluation of new self-designed reference probes, we encountered a number of problems, especially when applying the MLPA methodology to tumor samples. FINDINGS: DNA samples from 48 unaffected individuals and 145 breast cancer patients were used to evaluate 11 self-designed MLPA probes and determine the cut-off values for CNV, before applying the MLPA probes to normalize the target probes in a cohort of affected individuals. To test the calculation strategy, three probes were designed to cover regions in Regulator of G-protein Signaling 8 (RGS8), which we previously have identified as being affected by allelic imbalance by LOH analysis across RGS8 in the cohort comprising 145 breast tumors. Agreement between the LOH results and the results obtained by each of the three MLPA probes in RGS8 was found for 64%, 73%, and 91%, of the analyzed samples, respectively. CONCLUSION: Here, we present a straightforward method, based upon the normalization pattern in both unaffected and affected individuals, to evaluate self-designed reference probes and to calculate CNV for the MLPA assay with specific focus on the difficulties when analyzing tumor DNA.
机译:背景:依赖多重连接的探针扩增(MLPA)被广泛用于分析单个或多个基因座中的拷贝数变异(CNV)。 MLPA是癌症研究中的一种通用方法和重要工具;它提供了有关特定位点拷贝数增加或减少的精确信息,与基于微卫星分析的杂合性丢失(LOH)研究相反。预先设计的MLPA试剂盒和软件可从市场上购买,以分析多个外显子,基因和基因组区域。然而,对新基因特异性测定法的需求不断增长,因此有必要自行设计新的MLPA探针,而现有的软件可能不适用于该探针。在评估新的自行设计的参考探针期间,我们遇到了许多问题,尤其是在将MLPA方法应用于肿瘤样本时。结果:在应用MLPA探针对一组受影响的人群中的目标探针进行归一化处理之前,使用了48名未受影响的个体和145名乳腺癌患者的DNA样品评估了11种自行设计的MLPA探针并确定了CNV的临界值。为了测试计算策略,设计了三支探针来覆盖G蛋白信号调节因子8(RGS8)中的区域,我们先前已通过包含145个乳腺肿瘤的队列中整个RGS8的LOH分析确定了其受等位基因失衡的影响。发现LOH结果与RGS8中三个MLPA探针各自获得的结果之间的一致性,分别为64%,73%和91%的分析样品。结论:在此,我们基于未受影响和受影响个体的归一化模式,提出了一种简单的方法来评估自己设计的参考探针并计算用于MLPA分析的CNV,特别侧重于分析肿瘤DNA的困难。

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